COT Report Analysis: Turn Alerts Into A Review Queue
An Alerts-tab COT lesson for filtering alerts, assigning review depth, routing one adjacent check, and deciding whether to review, downgrade, or ignore an alert.
Educational only
The examples teach workflow and risk framing. They do not provide trade recommendations, personalized advice, leverage guidance, or guaranteed outcomes.
Chapter 01
Treat alert count as queue length
Trader question
How many alerts need review, and which one is first?
Alert count tells the desk how much attention to allocate. It does not rank urgency by itself or tell the trader what to do.
Desk checklist
- Count visible alerts.
- Filter by alert type.
- Select one alert before writing a note.
Interactive proof
Alerts tab top rail, active alerts count, extreme categories, highest extreme, and potential reversal count
Use the alert review queue to filter the count and select one alert for review.
Managed money: Crowding can persist, but catalyst risk rises
Producers: Hedging pressure, not a simple bearish call
Swap dealers: Often risk-transfer context
Other reportables: Secondary conviction layer
Interactive desk lab
COT Alert Review Queue
A practical COT Alerts-tab lab for filtering alerts, assigning review depth, choosing one adjacent-tool check, and marking alerts reviewed, downgraded, or ignored.
A practical COT Alerts-tab lab for filtering alerts, assigning review depth, choosing one adjacent-tool check, and marking alerts reviewed, downgraded, or ignored.
Alert count is queue length
The alert count grows, then its label rewrites from urgency to queue length before any alert can be opened.
The top-rail alert count increments.
An urgency label appears and fades.
The count is relabeled as queue length.
The learner selects one alert instead of reacting to the number.
Remotion code
CotAlertCountQueueLength
The snippet is stored with the lesson so a future Remotion project can render the chapter video.
Show component snippet
import {AbsoluteFill, Easing, Sequence, interpolate, useCurrentFrame} from "remotion";
export const CotAlertCountQueueLength = () => {
const frame = useCurrentFrame();
const count = Math.round(interpolate(frame, [12, 62], [1, 4], {extrapolateRight: "clamp", easing: Easing.bezier(0.16, 1, 0.3, 1)}));
const rewrite = interpolate(frame, [64, 94], [0, 1], {extrapolateLeft: "clamp", extrapolateRight: "clamp"});
return (
<AbsoluteFill style={{background: "#071126", color: "#fff8e8", padding: 72}}>
<h1 style={{fontSize: 54, lineHeight: 1}}>Count the queue before reading a card.</h1>
<div style={{marginTop: 54, display: "grid", gridTemplateColumns: "260px 1fr", gap: 28, alignItems: "center"}}>
<div style={{padding: 26, background: "#fff8e8", color: "#071126", textAlign: "center"}}>
<span style={{color: "#805407", fontWeight: 900}}>ACTIVE ALERTS</span>
<strong style={{display: "block", fontSize: 104, lineHeight: 1}}>{count}</strong>
</div>
<div style={{padding: 24, background: rewrite < 0.5 ? "#f1d9d3" : "#dcebe2", color: rewrite < 0.5 ? "#9d332c" : "#20724f", fontSize: 32, fontWeight: 900}}>
{rewrite < 0.5 ? "Weak: urgency meter" : "Better: review queue length"}
</div>
</div>
<Sequence from={104} layout="none">
<p style={{fontSize: 25, color: "#f1d59b"}}>The next action is select one alert, then check why it exists.</p>
</Sequence>
</AbsoluteFill>
);
};Sources used for this tutorial
Next step
Open the tool with the checklist beside you.
Move from the lesson into the matching Bullion Brains tool, keep the checklist visible, and treat the output as evidence until the caveats are clear.